Passivity Analysis of Markovian Jumping Neural Networks with Leakage Time-Varying Delays
| dc.category | Journal Article | |
| dc.contributor.author | Sudamani Ramaswamy, A R | |
| dc.date.accessioned | 2017-03-31T23:33:25Z | |
| dc.date.available | 2017-03-31T23:33:25Z | |
| dc.date.issued | 2012 | |
| dc.department | Mathematics | en_US |
| dc.description.abstract | 1 his paper is concerned with the passivity analysis of Markovian jumping neural networks with leakage time-varying delays. Based on a Lyapunov functional that accounts for the mixed time delays, a leakage delay-dependent passivity conditions are derived in terms of linear matrix inequalities (LMIs). Ihe mixed delays includes leakage time-varying delays, discrete time-varying delays, and distributed time-varying delays. By employing a novel Lyapunov-Krasovski! functional having triple-integral terms, new passivity leakage delay-dependent criteria are established to guarantee the passivity performance. This performance not only depends on the upper bound of the time-varying leakage delay a(t) but also depends on the upper bound of the derivative of the time-varying leakage delay While e.stimating the upper hound of derivative of the J.yapunov-Krasov.skii functional, the discrete and distributed delays should be treated so as to appropriately develop less conservative results. Two numerical examples are given to show the validity and potential of the developed criteria. | en_US |
| dc.identifier.uri | https://ir.avinuty.ac.in/handle/avu/2481 | |
| dc.lang | English | en_US |
| dc.publisher.name | Journal of Computational Methods in Physics | en_US |
| dc.publisher.type | International | en_US |
| dc.title | Passivity Analysis of Markovian Jumping Neural Networks with Leakage Time-Varying Delays | en_US |
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